Triple
T23197463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Ari Parker |
E579913
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brown Sugar |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brown Sugar | Statement: [Nicole Ari Parker, notableWork, Brown Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Sugar Context triple: [Nicole Ari Parker, notableWork, Brown Sugar]
-
A.
Brown Sugar
"Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
-
B.
Brown Sugar
Brown Sugar is the critically acclaimed 1995 debut studio album by American neo-soul singer D'Angelo, known for helping pioneer the neo-soul movement.
-
C.
Brown Sugar
chosen
Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
-
D.
Rock Sugar
Rock Sugar is an American rock band known for its humorous mashups that blend classic heavy metal songs with 1980s pop hits.
-
E.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.